キーワード: machine learning
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37 件のレコードが見つかりました。 1件目から10件目まで表示します。

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d5dd00486a.pdf
Bayesian diversity control for batch-based phase diagram determination
ジャーナル論文
著者
Peiheng Zou (author) (この著者で検索)
; ORCID SAMURAI ; ORCID SAMURAI
キーワード
phase diagram, machine learning
刊行年月日
2026-02-16
更新時刻
2026-04-01 14:33:21 +0900
125008_1_5.0229856.pdf
Black-box optimization technique for investigation of surface phase diagram
ジャーナル論文
著者
Makoto Urushihara (author) (この著者で検索)
;
Kenji Yamaguchi (author) (この著者で検索)
ORCID ; ORCID SAMURAI
キーワード
machine learning, surface phase diagram
刊行年月日
2024-12-01
更新時刻
2024-12-10 16:55:25 +0900
Acquiring and transferring comprehensive catalyst knowledge through integrated high-throughput experimentation and automatic feature engineering.pdf
Acquiring and transferring comprehensive catalyst knowledge through integrated high-throughput experimentation and automatic feature engineering
ジャーナル論文
著者
Ayu Fujiwara (author) (この著者で検索)
Japan Advanced Institute of Science and Technology Graduate School of Advanced Science and Technology
;
Sunao Nakanowatari (author) (この著者で検索)
Japan Advanced Institute of Science and Technology Graduate School of Advanced Science and Technology
;
Yohei Cho (author) (この著者で検索)
Japan Advanced Institute of Science and Technology Graduate School of Advanced Science and Technology
;
Toshiaki Taniike (author) (この著者で検索)
Japan Advanced Institute of Science and Technology Graduate School of Advanced Science and Technology
キーワード
Catalyst informatics, machine learning, high-throughput experimentation, descriptor, oxidative coupling of methane
刊行年月日
2025-12-31
更新時刻
2025-07-16 16:17:04 +0900
jmca2024_NaSulfideConductor_esi_rj.pdf
Computational discovery of stable Na-ion sulfide solid electrolytes with high conductivity at room temperature
ジャーナル論文
著者
Seong-Hoon Jang (author) (この著者で検索)
ORCID ;
Randy Jalem (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Yoshitaka Tateyama (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI
キーワード
all solid state batteries, solid electrolytes, high-throughput first-principles calculation, computational materials search, machine learning, sodium ion conductors
刊行年月日
2024-08-05
更新時刻
2024-10-10 16:30:52 +0900
2604_supp_info.pdf
Non-negative matrix factorization analysis of spatially-resolved photoemission spectra for epitaxially grown graphene on SiC
ジャーナル論文
著者
Masaki Imamura (author) (この著者で検索)
Saga University Synchrotron Light Application Center
;
Kazutoshi Takahashi (author) (この著者で検索)
キーワード
Photoemission spectroscopy, non-negative matrix factorization, graphene, machine learning, data-driven analysis
刊行年月日
2026-06-19
更新時刻
2026-06-24 15:38:41 +0900
1-s2.0-S0364591624000877-main.pdf
Data-driven study of the enthalpy of mixing in the liquid phase
ジャーナル論文
著者
Guillaume Deffrennes (author) (この著者で検索)
ORCID ;
Bengt Hallstedt (author) (この著者で検索)
;
Taichi Abe (author) (この著者で検索)
;
Quentin Bizot (author) (この著者で検索)
;
Evelyne Fischer (author) (この著者で検索)
;
Jean-Marc Joubert (author) (この著者で検索)
;
Kei Terayama (author) (この著者で検索)
; ORCID SAMURAI
キーワード
enthalpy of mixing, machine learning, liquid phase
刊行年月日
2024-09-25
更新時刻
2024-10-05 08:30:08 +0900
Manuscript_clean.pdf
Machine learning prediction of Young's modulus in multi component titanium based biomedical alloys using extended thermodynamic descriptors
ジャーナル論文
著者
Hassan Ahmad (author) (この著者で検索)
Pakistan Institute of Engineering and Applied Sciences (PIEAS) Department of Metallurgy and Materials Engineering
;
Muhammad Haider (author) (この著者で検索)
;
Zafar Iqbal (author) (この著者で検索)
;
Muhammad Zarif (author) (この著者で検索)
;
Syed Mujtaba Ul Hassan (author) (この著者で検索)
キーワード
Titanium alloys, machine learning, biomedical alloys, Young’s modulus prediction
刊行年月日
2026-12-31
更新時刻
2026-07-08 16:58:38 +0900
esi_clean.pdf
Multiobjective Solid Electrolyte Design of Tetragonal and Cubic Inverse-Perovskites for All-Solid-State Lithium-Ion Batteries by High-Throughput Density Functional Theory Calculations and AI-Driven Methods
ジャーナル論文
著者
JALEM Randy (author) (この著者で検索)
National Institute for Materials Science Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Interface Electrochemistry Group
ORCID SAMURAI ;
TATEYAMA Yoshitaka (author) (この著者で検索)
National Institute for Materials Science Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Interface Electrochemistry Group
ORCID SAMURAI ;
TAKADA Kazunori (author) (この著者で検索)
National Institute for Materials Science Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Solid-State Battery Group
ORCID SAMURAI ;
JANG Seonghoon (author) (この著者で検索)
National Institute for Materials Science Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Interface Electrochemistry Group
キーワード
all solid state batteries, solid electrolytes, density functional theory, materials informatics, machine learning, novel materials search
刊行年月日
2023-09-07
更新時刻
2024-08-28 08:30:15 +0900
3-12-Revised Manuscript without Any Highlighting.docx
Machine-Learning-Driven Discovery of Mn4+-Doped Red-Emitting Fluorides with Short Excited-State Lifetime and High Efficiency for Mini Light-Emitting Diode Displays
ジャーナル論文
著者
Hong Ming (author) (この著者で検索)
ORCID ;
Yayun Zhou (author) (この著者で検索)
;
Maxim S. Molokeev (author) (この著者で検索)
ORCID ;
Chuang Zhang (author) (この著者で検索)
;
Lin Huang (author) (この著者で検索)
;
Yuanjing Wang (author) (この著者で検索)
; ORCID SAMURAI ;
Enhai Song (author) (この著者で検索)
ORCID ;
Qinyuan Zhang (author) (この著者で検索)
ORCID
キーワード
luminescent materials, machine learning
刊行年月日
2024-05-06
更新時刻
2025-04-03 08:30:20 +0900
Automatic extraction of materials and properties from superconductors scientific literature.pdf
Automatic extraction of materials and properties from superconductors scientific literature
ジャーナル
著者
Luca Foppiano (author) (この著者で検索)
NIMS MaDIS
ORCID ;
Pedro Baptista Castro (author) (この著者で検索)
NIMS MANA
ORCID ;
Pedro Ortiz Suarez (author) (この著者で検索)
University of Mannheim Data and Web Science Group
ORCID ; ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI
キーワード
Materials informatics, superconductors, machine learning, NLP, TDM
刊行年月日
2023-12-31
更新時刻
2024-01-05 22:12:53 +0900
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